[R-sig-ME] Syntax for adding group-level predictors
thierry@onkelinx @ending from inbo@be
Fri May 11 15:27:57 CEST 2018
You added "Age" to the fixed effects. This assumes that the slope of
Age is shared among all household. Which makes sense to me.
For "Size" you have two options: Size + Age + (1|ID) or Age + (1 +
Size|ID). The former assumes that the slope of Size is the same for
each household (hence a 'fixed' slope). The latter assumes that each
household has a different slope for Size (hence a 'random' slope).
ir. Thierry Onkelinx
Statisticus / Statistician
Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx at inbo.be
Havenlaan 88 bus 73, 1000 Brussel
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able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data. ~ Roger Brinner
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not ensure that a reasonable answer can be extracted from a given body
of data. ~ John Tukey
2018-05-11 14:50 GMT+02:00 Yashree Mehta <yashree19 at gmail.com>:
> I am working with a random intercept model. I have the usual "X" vector of
> covariates and one id variable which will make up the random intercept. Now
> I wish to add group-level predictors (which are NOT in the X vector) such
> that the random intercept depends on these predictors.
> For example,
> Response variable: Production of maize
> Covariate: Size of plot
> Group-level predictor: Age of farmer
> ID variable: Household_ID
> I wish to confirm the syntax for including the group-level "Age of farmer"
> fit<-lmer(Production~ Size+ Age+ (1|Household_ID), data=data)
> Is this correct or is there another way of declaring the group-level
> predictor in the formula?
> Thank you
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